code: def __init__(self, preprocessor, model, decoder, token_processor):
      super().__init__()
      self.preprocessor = preprocessor
      self.model = model
      self.decoder = decoder
      self.token_processor = token_processor
  
      self.state = None
      self.hypotheses = None
  
imports: import numpy
  import sentencepiece
  import torch
  import torchaudio
  import torchvision
  import sys
  from avsr.data_prep.detectors.mediapipe.detector import LandmarksDetector
  from avsr.data_prep.detectors.mediapipe.video_process import VideoProcess
  from torchaudio.utils import download_asset
label_desc: Use image node_id 1 to create a new InferencePipeline object from inherited base classes: torch.nn with example: obj = InferencePipeline(preprocessor, model, decoder, token_processor)